EECHE: an energy-efficient cluster head election algorithm in sensor networks

Authors:
Kyounghwa Lee;Joohyun Lee;Minsu Park;Jaeho Kim;Yongtae Shin
Affiliations:
Information Science B/D, Soongsil University, Seoul, South Korea;Information Science B/D, Soongsil University, Seoul, South Korea;Information Science B/D, Soongsil University, Seoul, South Korea;Information Science B/D, Soongsil University, Seoul, South Korea;Information Science B/D, Soongsil University, Seoul, South Korea
Venue:
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Year:
2009

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Abstract

One of the most important considerations in designing sensor nodes in a wireless sensor networks is to extend the network lifetime by minimizing an energy consumption with limited resources. In this paper, we propose an Energy-Efficient Cluster Head Election (EECHE) algorithm in sensor networks The proposed algorithm divides cluster area into two perpendicular diameters, and then elects cluster head by the density of member nodes and the distance from cluster head. Through the simulation experiments, we showed that our algorithm has improves the performance of cluster head election and provides more energy-efficient.